{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mjoshi2\Box\MJ Work From Home\ISQ Revisions\Final Submission\2019-05-09 log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 May 2019, 08:45:01
{txt}
{com}. //rounding to integer
. //gen agg_imprate_lag2 = round(agg_imprate_lag)
. //sort ccode year
. //by ccode: gen pkoaveragelag = pkoave_total_1000[_n-1]
. *********XTSET DATA*********
.  tsset ccode year
{res}{txt}{col 8}panel variable:  {res}ccode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1989 to 2012, but with a gap
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}.  **************************
. label variable  sumconfv413 "Number of Active dyads"
{txt}
{com}. label variable sumconfv413_lag "Number of Active dyad t-1"
{txt}
{com}. label variable  pamrate_nonCPA_PAlag1 "CPA rate x Non-CPA t-1"
{txt}
{com}. label variable  pamrate_Gov_v_lag1 "CPA rate x Government Victory t-1"
{txt}
{com}. label variable  pamrate_Reb_v_lag1 "CPA rate x Rebel Victory t-1"
{txt}
{com}. label variable  nonCPA_PALag "Non-CPA t-1"
{txt}
{com}. label variable  reb_viclag  "Rebel victory t-1"
{txt}
{com}. label variable  govt_viclag1 "Govt. victory t-1"
{txt}
{com}. label variable  agg_imprate_lag "CPA implementation ratet-1"
{txt}
{com}. label variable  bdbest_cumlag  "Cumulative deaths (best est.) t-1"
{txt}
{com}. label variable  cum_peace_year "Years since last termination"
{txt}
{com}. label variable firstyear "First year"  
{txt}
{com}. label variable secondyear "Second year"
{txt}
{com}. label variable  thirdyear "Third year"
{txt}
{com}. label variable  fourth "Fourth year"
{txt}
{com}. label variable  fifth  "Fifth year"
{txt}
{com}. label variable  govonlyv413m  "Government conflict"
{txt}
{com}. label variable  lninfantmort_lag "Log infant mortality rate t-1"
{txt}
{com}. label variable  lnlagwdi_pop  "Log total population t-1”
{txt}
{com}. label variable  lnwdi_gdppccon_lag  "Log GDP per capita (2005) t-1"
{txt}
{com}. label variable  ex_constrain5_7_lag  "Executive constrain t-1"
{txt}
{com}. label variable  polity2_lag "Polity2 t-1"
{txt}
{com}. label variable  pkoaveragelag "UN deployment x 1,000 t-1"
{txt}
{com}. label variable military_lag "External military support t-1"
{txt}
{com}. 
. 
. //Descriptive Stat Table 1 
. sum  sumconfv413 L.sumconfv413 pamrate_nonCPA_PAlag1 pamrate_Gov_v_lag1 pamrate_Reb_v_lag1 nonCPA_PALag reb_viclag govt_viclag1 agg_imprate_lag bdbest_cumlag cum_peace_year firstyear secondyear thirdyear fourth fifth  govonlyv413m  lninfantmort_lag  lnlagwdi_pop  lnwdi_gdppccon_lag  ex_constrain5_7_lag  polity2_lag pkoaveragelag military_lag if mj_conflictid!=. &  sumconfv413!=.

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}sumconfv413 {c |}
{space 9}--. {c |}{res}      1,404    .6716524    1.216316          0          9
{txt}{space 9}L1. {c |}{res}      1,330    .6842105     1.22716          0          9
{txt}{space 12} {c |}
pamrate_no~1 {c |}{res}      1,378    1.529855    9.707278          0      77.14
{txt}pamrate_Go~1 {c |}{res}      1,378    2.376067    12.44438          0      83.33
{txt}pamrate_Re~1 {c |}{res}      1,378    1.037801    9.485114          0      95.83
{txt}{hline 13}{c +}{hline 57}
nonCPA_PALag {c |}{res}      1,404    .2079772     .406005          0          1
{txt}{space 2}reb_viclag {c |}{res}      1,404    .0904558    .2869359          0          1
{txt}govt_viclag1 {c |}{res}      1,404    .1438746    .3510876          0          1
{txt}agg_imprat~g {c |}{res}      1,378    21.65938    33.89776          0      95.83
{txt}bdbest_cum~g {c |}{res}      1,404    4506.474    9179.336          0      87004
{txt}{hline 13}{c +}{hline 57}
cum_peace_~r {c |}{res}      1,404    6.324074    5.451892          1         24
{txt}{space 3}firstyear {c |}{res}      1,404    .1823362    .3862589          0          1
{txt}{space 2}secondyear {c |}{res}      1,404    .1360399    .3429531          0          1
{txt}{space 3}thirdyear {c |}{res}      1,404    .1004274    .3006761          0          1
{txt}{space 2}fourthyear {c |}{res}      1,404    .0840456     .277555          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}fifthyear {c |}{res}      1,404    .0669516    .2500272          0          1
{txt}govonlyv413m {c |}{res}      1,404    .6025641    .4895419          0          1
{txt}lninfantmo~g {c |}{res}      1,352    3.722872    .8566102   1.252763   5.108971
{txt}lnlagwdi_pop {c |}{res}      1,352    16.41571    1.486706   12.88081   21.01901
{txt}lnwdi_gdpp~g {c |}{res}      1,260    7.110268    1.307081   3.912867   10.60281
{txt}{hline 13}{c +}{hline 57}
ex_constra~g {c |}{res}      1,404    .5270655    .4994448          0          1
{txt}{space 1}polity2_lag {c |}{res}      1,302    2.543779    5.896559         -9         10
{txt}pkoaverage~g {c |}{res}      1,331    .7170926    2.902343          0    32.3722
{txt}military_lag {c |}{res}      1,404     .042735    .2023312          0          1
{txt}
{com}. 
. //Pairwise Correlation Table 2
. pwcorr sumconfv413 L.sumconfv413 agg_imprate_lag nonCPA_PALag govt_viclag1 reb_viclag  pamrate_nonCPA_PAlag1 pamrate_Gov_v_lag1 pamrate_Reb_v_lag1 bdbest_cumlag cum_peace_year firstyear secondyear thirdyear fourth fifth  govonlyv413m lninfantmort_lag  lnlagwdi_pop  lnwdi_gdppccon_lag  ex_constrain5_7_lag polity2_lag pkoaveragelag military_lag if mj_conflictid!=. &  sumconfv413!=.

             {txt}{c |} sumc~413 L.su~413 agg_im~g nonCPA~g govt_v~1 reb_vi~g pa~Alag1
{hline 13}{c +}{hline 63}
 sumconfv413 {c |} {res}  1.0000 
{txt}L.sumcon~413 {c |} {res}  0.8191   1.0000 
{txt}agg_imprat~g {c |} {res} -0.1685  -0.1604   1.0000 
{txt}nonCPA_PALag {c |} {res} -0.0247   0.0418  -0.2080   1.0000 
{txt}govt_viclag1 {c |} {res} -0.1347  -0.1148  -0.0667  -0.2101   1.0000 
  {txt}reb_viclag {c |} {res} -0.0700  -0.0561  -0.0978  -0.1616  -0.1293   1.0000 
{txt}pamrate_no~1 {c |} {res} -0.0347  -0.0083   0.1927   0.3143  -0.0653  -0.0502   1.0000 
{txt}pamrate_Go~1 {c |} {res} -0.0950  -0.0828   0.2584  -0.0958   0.4609  -0.0609  -0.0301 
{txt}pamrate_Re~1 {c |} {res} -0.0457  -0.0438   0.2132  -0.0549  -0.0454   0.3435  -0.0173 
{txt}bdbest_cum~g {c |} {res}  0.1855   0.2154   0.0284  -0.0531  -0.0004   0.1192   0.0482 
{txt}cum_peace_~r {c |} {res} -0.3978  -0.4266   0.1801  -0.0652   0.2199   0.0929  -0.0208 
   {txt}firstyear {c |} {res}  0.5751   0.4342  -0.1633  -0.0420  -0.1936  -0.0782  -0.0296 
  {txt}secondyear {c |} {res}  0.0012   0.3291  -0.0960   0.0731  -0.0265  -0.0310   0.0206 
   {txt}thirdyear {c |} {res} -0.0209  -0.0607  -0.0479   0.0215  -0.0154   0.0020  -0.0009 
  {txt}fourthyear {c |} {res} -0.0554  -0.0619  -0.0217   0.0282  -0.0218   0.0119   0.0003 
   {txt}fifthyear {c |} {res} -0.0753  -0.0940   0.0200   0.0172  -0.0043   0.0149   0.0143 
{txt}govonlyv413m {c |} {res} -0.1619  -0.1462   0.0059  -0.0966   0.1463   0.2460   0.1115 
{txt}lninfantmo~g {c |} {res}  0.0997   0.0950   0.0084   0.0839  -0.1515   0.1059   0.1017 
{txt}lnlagwdi_pop {c |} {res}  0.3753   0.3728  -0.1376  -0.1338  -0.1438  -0.1358  -0.1263 
{txt}lnwdi_gdpp~g {c |} {res} -0.0708  -0.0726  -0.0533  -0.1300   0.1938  -0.0807  -0.0536 
{txt}ex_constra~g {c |} {res} -0.0493  -0.0690   0.0824   0.1163   0.1038   0.0053  -0.0830 
 {txt}polity2_lag {c |} {res} -0.0552  -0.0668   0.2036   0.1084   0.1291   0.0216  -0.0472 
{txt}pkoaverage~g {c |} {res}  0.0163   0.0245   0.1386  -0.0024   0.0421   0.0358  -0.0187 
{txt}military_lag {c |} {res}  0.1410   0.1658  -0.1032   0.0306  -0.0565   0.1052  -0.0087 

             {txt}{c |} p~Gov_~1 p~Reb_~1 bdbest~g cum_pe~r firsty~r second~r thirdy~r
{hline 13}{c +}{hline 63}
pamrate_Go~1 {c |} {res}  1.0000 
{txt}pamrate_Re~1 {c |} {res} -0.0209   1.0000 
{txt}bdbest_cum~g {c |} {res}  0.0101  -0.0388   1.0000 
{txt}cum_peace_~r {c |} {res}  0.1207   0.0224  -0.1671   1.0000 
   {txt}firstyear {c |} {res} -0.0899  -0.0396   0.0515  -0.4613   1.0000 
  {txt}secondyear {c |} {res} -0.0299  -0.0264   0.0539  -0.3148  -0.1874   1.0000 
   {txt}thirdyear {c |} {res} -0.0302  -0.0082   0.0439  -0.2038  -0.1578  -0.1326   1.0000 
  {txt}fourthyear {c |} {res} -0.0175   0.0031   0.0347  -0.1292  -0.1430  -0.1202  -0.1012 
   {txt}fifthyear {c |} {res} -0.0037   0.0139   0.0281  -0.0651  -0.1265  -0.1063  -0.0895 
{txt}govonlyv413m {c |} {res}  0.1507   0.0899   0.0248   0.1025  -0.1065  -0.0259   0.0147 
{txt}lninfantmo~g {c |} {res}  0.0056   0.1102   0.0770  -0.3126   0.1231   0.0687   0.0740 
{txt}lnlagwdi_pop {c |} {res} -0.0943  -0.1497   0.1326  -0.1819   0.1559   0.0527   0.0211 
{txt}lnwdi_gdpp~g {c |} {res} -0.0161  -0.1024  -0.0924   0.2573  -0.0941  -0.0448  -0.0497 
{txt}ex_constra~g {c |} {res} -0.0431   0.0330  -0.1695   0.2492  -0.1143  -0.1193  -0.0869 
 {txt}polity2_lag {c |} {res}  0.0481   0.0100  -0.0938   0.2986  -0.1662  -0.1162  -0.0703 
{txt}pkoaverage~g {c |} {res}  0.2046  -0.0251   0.1620  -0.0479  -0.0196   0.0073   0.0361 
{txt}military_lag {c |} {res} -0.0313   0.0052   0.2120  -0.1502   0.1100   0.1627  -0.0237 

             {txt}{c |} fourth~r fifthy~r gov~413m lninfa~g lnlagw~p lnwdi_~g ex_con~g
{hline 13}{c +}{hline 63}
  fourthyear {c |} {res}  1.0000 
   {txt}fifthyear {c |} {res} -0.0811   1.0000 
{txt}govonlyv413m {c |} {res}  0.0204   0.0137   1.0000 
{txt}lninfantmo~g {c |} {res}  0.0630   0.0337   0.3050   1.0000 
{txt}lnlagwdi_pop {c |} {res}  0.0041   0.0042  -0.2813  -0.1120   1.0000 
{txt}lnwdi_gdpp~g {c |} {res} -0.0613  -0.0349  -0.2736  -0.8365   0.1318   1.0000 
{txt}ex_constra~g {c |} {res} -0.0370   0.0083  -0.2766  -0.3799   0.0449   0.3627   1.0000 
 {txt}polity2_lag {c |} {res} -0.0380   0.0009  -0.1664  -0.4468   0.0121   0.4460   0.8654 
{txt}pkoaverage~g {c |} {res}  0.0440   0.0423   0.0917   0.1053  -0.0385  -0.1355  -0.0561 
{txt}military_lag {c |} {res} -0.0513  -0.0425   0.0637   0.0868  -0.0256  -0.1039  -0.1596 

             {txt}{c |} polity~g pkoave~g milita~g
{hline 13}{c +}{hline 27}
 polity2_lag {c |} {res}  1.0000 
{txt}pkoaverage~g {c |} {res} -0.0275   1.0000 
{txt}military_lag {c |} {res} -0.1142  -0.0351   1.0000 
{txt}
{com}. 
. //Table 2
. //Mode l - All terminations and control for year and govt conflict
. xtreg sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  pkoaveragelag  firstyear secondyear thirdyear fourth fifth if mj_conflictid!=.,fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,307
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        72

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2489{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2659{col 63}{txt}avg{col 67}={col 69}{res}      18.2
{txt}     overall = {res}0.2429{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}11{txt},{res}1224{txt}){col 67}={col 70}{res}    36.88
{txt}corr(u_i, Xb){col 16}= {res}0.1774{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    sumconfv413{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
agg_imprate_lag {c |}{col 17}{res}{space 2}-.0071586{col 29}{space 2} .0010861{col 40}{space 1}   -6.59{col 49}{space 3}0.000{col 57}{space 4}-.0092894{col 70}{space 3}-.0050277
{txt}{space 5}reb_viclag {c |}{col 17}{res}{space 2} -.223292{col 29}{space 2} .1208576{col 40}{space 1}   -1.85{col 49}{space 3}0.065{col 57}{space 4} -.460403{col 70}{space 3} .0138191
{txt}{space 3}govt_viclag1 {c |}{col 17}{res}{space 2} .1648544{col 29}{space 2} .0934212{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4} -.018429{col 70}{space 3} .3481379
{txt}{space 3}nonCPA_PALag {c |}{col 17}{res}{space 2}-.2463082{col 29}{space 2} .0655612{col 40}{space 1}   -3.76{col 49}{space 3}0.000{col 57}{space 4}-.3749329{col 70}{space 3}-.1176835
{txt}{space 3}govonlyv413m {c |}{col 17}{res}{space 2} .1093835{col 29}{space 2} .0855156{col 40}{space 1}    1.28{col 49}{space 3}0.201{col 57}{space 4}  -.05839{col 70}{space 3}  .277157
{txt}{space 2}pkoaveragelag {c |}{col 17}{res}{space 2}  .015154{col 29}{space 2} .0079445{col 40}{space 1}    1.91{col 49}{space 3}0.057{col 57}{space 4}-.0004324{col 70}{space 3} .0307403
{txt}{space 6}firstyear {c |}{col 17}{res}{space 2} .9221445{col 29}{space 2} .0647532{col 40}{space 1}   14.24{col 49}{space 3}0.000{col 57}{space 4}  .795105{col 70}{space 3} 1.049184
{txt}{space 5}secondyear {c |}{col 17}{res}{space 2}-.1407558{col 29}{space 2} .0574213{col 40}{space 1}   -2.45{col 49}{space 3}0.014{col 57}{space 4}-.2534108{col 70}{space 3}-.0281008
{txt}{space 6}thirdyear {c |}{col 17}{res}{space 2}-.0377331{col 29}{space 2} .0605594{col 40}{space 1}   -0.62{col 49}{space 3}0.533{col 57}{space 4}-.1565448{col 70}{space 3} .0810787
{txt}{space 5}fourthyear {c |}{col 17}{res}{space 2} -.061542{col 29}{space 2} .0631767{col 40}{space 1}   -0.97{col 49}{space 3}0.330{col 57}{space 4}-.1854886{col 70}{space 3} .0624045
{txt}{space 6}fifthyear {c |}{col 17}{res}{space 2}-.0622147{col 29}{space 2} .0675996{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4}-.1948387{col 70}{space 3} .0704092
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}   .63918{col 29}{space 2} .0737127{col 40}{space 1}    8.67{col 49}{space 3}0.000{col 57}{space 4} .4945627{col 70}{space 3} .7837972
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res}  .8461602
        {txt}sigma_e {c |} {res} .58256974
            {txt}rho {c |} {res} .67841986{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}71{txt}, {res}1224{txt}) = {res}29.72{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  pkoaveragelag  firstyear secondyear thirdyear fourth fifth if mj_conflictid!=.
{txt}(obs=1,307)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.64    1.28    0.6082      0.3918
agg_imprate_lag      1.25    1.12    0.8024      0.1976
reb_viclag      1.22    1.11    0.8177      0.1823
govt_viclag1      1.25    1.12    0.8006      0.1994
nonCPA_PALag      1.23    1.11    0.8159      0.1841
govonlyv413m      1.16    1.08    0.8638      0.1362
pkoaveragelag      1.06    1.03    0.9475      0.0525
 firstyear      1.85    1.36    0.5397      0.4603
secondyear      1.22    1.10    0.8205      0.1795
 thirdyear      1.16    1.07    0.8656      0.1344
fourthyear      1.12    1.06    0.8910      0.1090
 fifthyear      1.09    1.04    0.9199      0.0801
{txt}----------------------------------------------------
  Mean VIF{res}      1.27

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     3.5062          1.0000
    2     1.4661          1.5464
    3     1.0660          1.8136
    4     1.0133          1.8601
    5     1.0048          1.8680
    6     0.9932          1.8789
    7     0.9770          1.8944
    8     0.9012          1.9724
    9     0.7777          2.1233
    10     0.6030          2.4113
    11     0.3258          3.2804
    12     0.2566          3.6963
    13     0.1090          5.6723
{txt}---------------------------------
 Condition Number{res}         5.6723 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.2927
{txt}
{com}. 
. //Model 2 - includes ex constrains and peacekeeing, population, gdp percapita
.  xtreg sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lnwdi_gdppccon_lag firstyear secondyear thirdyear fourth fifth  ex_constrain5_7_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,180
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        67

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2565{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3631{col 63}{txt}avg{col 67}={col 69}{res}      17.6
{txt}     overall = {res}0.3231{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}14{txt},{res}1099{txt}){col 67}={col 70}{res}    27.08
{txt}corr(u_i, Xb){col 16}= {res}0.2389{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        sumconfv413{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}agg_imprate_lag {c |}{col 21}{res}{space 2}-.0067301{col 33}{space 2} .0011915{col 44}{space 1}   -5.65{col 53}{space 3}0.000{col 61}{space 4} -.009068{col 74}{space 3}-.0043922
{txt}{space 9}reb_viclag {c |}{col 21}{res}{space 2}  .056646{col 33}{space 2} .1479256{col 44}{space 1}    0.38{col 53}{space 3}0.702{col 61}{space 4}-.2336025{col 74}{space 3} .3468945
{txt}{space 7}govt_viclag1 {c |}{col 21}{res}{space 2} .0690182{col 33}{space 2}  .096575{col 44}{space 1}    0.71{col 53}{space 3}0.475{col 61}{space 4} -.120474{col 74}{space 3} .2585104
{txt}{space 7}nonCPA_PALag {c |}{col 21}{res}{space 2}-.2029913{col 33}{space 2} .0685313{col 44}{space 1}   -2.96{col 53}{space 3}0.003{col 61}{space 4}-.3374582{col 74}{space 3}-.0685245
{txt}{space 7}govonlyv413m {c |}{col 21}{res}{space 2}-.0629556{col 33}{space 2}  .088379{col 44}{space 1}   -0.71{col 53}{space 3}0.476{col 61}{space 4}-.2363662{col 74}{space 3} .1104549
{txt}{space 7}lnlagwdi_pop {c |}{col 21}{res}{space 2} .0789333{col 33}{space 2} .1910331{col 44}{space 1}    0.41{col 53}{space 3}0.680{col 61}{space 4}-.2958974{col 74}{space 3}  .453764
{txt}{space 1}lnwdi_gdppccon_lag {c |}{col 21}{res}{space 2}-.0747441{col 33}{space 2} .0930246{col 44}{space 1}   -0.80{col 53}{space 3}0.422{col 61}{space 4}  -.25727{col 74}{space 3} .1077818
{txt}{space 10}firstyear {c |}{col 21}{res}{space 2} .8908323{col 33}{space 2} .0671847{col 44}{space 1}   13.26{col 53}{space 3}0.000{col 61}{space 4} .7590076{col 74}{space 3} 1.022657
{txt}{space 9}secondyear {c |}{col 21}{res}{space 2}-.1532041{col 33}{space 2} .0604399{col 44}{space 1}   -2.53{col 53}{space 3}0.011{col 61}{space 4}-.2717946{col 74}{space 3}-.0346135
{txt}{space 10}thirdyear {c |}{col 21}{res}{space 2}-.0701502{col 33}{space 2} .0626876{col 44}{space 1}   -1.12{col 53}{space 3}0.263{col 61}{space 4}-.1931511{col 74}{space 3} .0528508
{txt}{space 9}fourthyear {c |}{col 21}{res}{space 2}-.0547071{col 33}{space 2}   .06463{col 44}{space 1}   -0.85{col 53}{space 3}0.397{col 61}{space 4}-.1815194{col 74}{space 3} .0721051
{txt}{space 10}fifthyear {c |}{col 21}{res}{space 2}-.0450125{col 33}{space 2} .0686399{col 44}{space 1}   -0.66{col 53}{space 3}0.512{col 61}{space 4}-.1796924{col 74}{space 3} .0896675
{txt}ex_constrain5_7_lag {c |}{col 21}{res}{space 2}-.0711518{col 33}{space 2} .0631863{col 44}{space 1}   -1.13{col 53}{space 3}0.260{col 61}{space 4}-.1951313{col 74}{space 3} .0528276
{txt}{space 6}pkoaveragelag {c |}{col 21}{res}{space 2} .0153921{col 33}{space 2} .0084184{col 44}{space 1}    1.83{col 53}{space 3}0.068{col 61}{space 4}-.0011259{col 74}{space 3} .0319101
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} -.038462{col 33}{space 2} 2.887077{col 44}{space 1}   -0.01{col 53}{space 3}0.989{col 61}{space 4}-5.703267{col 74}{space 3} 5.626343
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res}  .7883572
            {txt}sigma_e {c |} {res} .55515388
                {txt}rho {c |} {res} .66850073{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}
F test that all u_i=0: F({res}66{txt}, {res}1099{txt}) = {res}25.56{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lnwdi_gdppccon_lag firstyear secondyear thirdyear fourth fifth  ex_constrain5_7_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,180)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.81    1.34    0.5530      0.4470
agg_imprate_lag      1.33    1.15    0.7504      0.2496
reb_viclag      1.29    1.13    0.7781      0.2219
govt_viclag1      1.38    1.18    0.7235      0.2765
nonCPA_PALag      1.42    1.19    0.7055      0.2945
govonlyv413m      1.44    1.20    0.6921      0.3079
lnlagwdi_pop      1.42    1.19    0.7040      0.2960
lnwdi_gdppccon_lag      1.41    1.19    0.7085      0.2915
 firstyear      1.83    1.35    0.5466      0.4534
secondyear      1.24    1.11    0.8045      0.1955
 thirdyear      1.17    1.08    0.8532      0.1468
fourthyear      1.13    1.06    0.8874      0.1126
 fifthyear      1.09    1.04    0.9192      0.0808
ex_constrain5_7_lag      1.36    1.17    0.7349      0.2651
pkoaveragelag      1.07    1.03    0.9350      0.0650
{txt}----------------------------------------------------
  Mean VIF{res}      1.36

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8522          1.0000
    2     1.4780          1.9899
    3     1.0780          2.3300
    4     1.0184          2.3972
    5     1.0063          2.4115
    6     1.0000          2.4192
    7     0.9672          2.4598
    8     0.9413          2.4934
    9     0.7899          2.7218
    10     0.6384          3.0278
    11     0.5100          3.3876
    12     0.2910          4.4844
    13     0.2509          4.8291
    14     0.1602          6.0444
    15     0.0155         19.4576
    16     0.0028         46.0369
{txt}---------------------------------
 Condition Number{res}        46.0369 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1235
{txt}
{com}. 
.  //Model 3 replace gdp per capita with infant mortality
. xtreg sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lninfantmort_lag  firstyear secondyear thirdyear fourth fifth  ex_constrain5_7_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,264
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2538{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0379{col 63}{txt}avg{col 67}={col 69}{res}      18.1
{txt}     overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}14{txt},{res}1180{txt}){col 67}={col 70}{res}    28.66
{txt}corr(u_i, Xb){col 16}= {res}-0.5115{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        sumconfv413{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}agg_imprate_lag {c |}{col 21}{res}{space 2} -.006247{col 33}{space 2} .0012005{col 44}{space 1}   -5.20{col 53}{space 3}0.000{col 61}{space 4}-.0086024{col 74}{space 3}-.0038916
{txt}{space 9}reb_viclag {c |}{col 21}{res}{space 2}-.2401754{col 33}{space 2} .1224267{col 44}{space 1}   -1.96{col 53}{space 3}0.050{col 61}{space 4}-.4803736{col 74}{space 3} .0000229
{txt}{space 7}govt_viclag1 {c |}{col 21}{res}{space 2} .1639155{col 33}{space 2} .0948672{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0222117{col 74}{space 3} .3500428
{txt}{space 7}nonCPA_PALag {c |}{col 21}{res}{space 2}-.2347734{col 33}{space 2} .0666149{col 44}{space 1}   -3.52{col 53}{space 3}0.000{col 61}{space 4}-.3654703{col 74}{space 3}-.1040766
{txt}{space 7}govonlyv413m {c |}{col 21}{res}{space 2} .0347573{col 33}{space 2} .0892182{col 44}{space 1}    0.39{col 53}{space 3}0.697{col 61}{space 4}-.1402867{col 74}{space 3} .2098013
{txt}{space 7}lnlagwdi_pop {c |}{col 21}{res}{space 2}-.3671246{col 33}{space 2} .1927138{col 44}{space 1}   -1.91{col 53}{space 3}0.057{col 61}{space 4}-.7452246{col 74}{space 3} .0109753
{txt}{space 3}lninfantmort_lag {c |}{col 21}{res}{space 2}-.0990212{col 33}{space 2} .1069157{col 44}{space 1}   -0.93{col 53}{space 3}0.355{col 61}{space 4}-.3087873{col 74}{space 3}  .110745
{txt}{space 10}firstyear {c |}{col 21}{res}{space 2} .9044541{col 33}{space 2} .0676562{col 44}{space 1}   13.37{col 53}{space 3}0.000{col 61}{space 4} .7717142{col 74}{space 3} 1.037194
{txt}{space 9}secondyear {c |}{col 21}{res}{space 2}-.1600546{col 33}{space 2} .0619351{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.2815698{col 74}{space 3}-.0385395
{txt}{space 10}thirdyear {c |}{col 21}{res}{space 2}-.0549631{col 33}{space 2} .0646608{col 44}{space 1}   -0.85{col 53}{space 3}0.395{col 61}{space 4}-.1818262{col 74}{space 3} .0718999
{txt}{space 9}fourthyear {c |}{col 21}{res}{space 2}-.0737953{col 33}{space 2} .0663556{col 44}{space 1}   -1.11{col 53}{space 3}0.266{col 61}{space 4}-.2039833{col 74}{space 3} .0563928
{txt}{space 10}fifthyear {c |}{col 21}{res}{space 2}-.0691829{col 33}{space 2} .0705229{col 44}{space 1}   -0.98{col 53}{space 3}0.327{col 61}{space 4}-.2075473{col 74}{space 3} .0691814
{txt}ex_constrain5_7_lag {c |}{col 21}{res}{space 2}-.0617998{col 33}{space 2} .0652241{col 44}{space 1}   -0.95{col 53}{space 3}0.344{col 61}{space 4} -.189768{col 74}{space 3} .0661684
{txt}{space 6}pkoaveragelag {c |}{col 21}{res}{space 2} .0166441{col 33}{space 2} .0081673{col 44}{space 1}    2.04{col 53}{space 3}0.042{col 61}{space 4}   .00062{col 74}{space 3} .0326681
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  7.09891{col 33}{space 2} 3.408218{col 44}{space 1}    2.08{col 53}{space 3}0.037{col 61}{space 4} .4120673{col 74}{space 3} 13.78575
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            sigma_u {c |} {res} 1.1879118
            {txt}sigma_e {c |} {res}  .5857527
                {txt}rho {c |} {res} .80441325{txt}   (fraction of variance due to u_i)
{hline 20}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1180{txt}) = {res}24.00{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lninfantmort_lag  firstyear secondyear thirdyear fourth fifth  ex_constrain5_7_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,264)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.82    1.35    0.5488      0.4512
agg_imprate_lag      1.34    1.16    0.7478      0.2522
reb_viclag      1.31    1.14    0.7658      0.2342
govt_viclag1      1.34    1.16    0.7461      0.2539
nonCPA_PALag      1.38    1.18    0.7221      0.2779
govonlyv413m      1.47    1.21    0.6791      0.3209
lnlagwdi_pop      1.42    1.19    0.7045      0.2955
lninfantmort_lag      1.41    1.19    0.7074      0.2926
 firstyear      1.92    1.38    0.5217      0.4783
secondyear      1.30    1.14    0.7686      0.2314
 thirdyear      1.21    1.10    0.8293      0.1707
fourthyear      1.15    1.07    0.8660      0.1340
 fifthyear      1.10    1.05    0.9051      0.0949
ex_constrain5_7_lag      1.35    1.16    0.7406      0.2594
pkoaveragelag      1.06    1.03    0.9423      0.0577
{txt}----------------------------------------------------
  Mean VIF{res}      1.37

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8624          1.0000
    2     1.4711          1.9963
    3     1.0713          2.3393
    4     1.0198          2.3976
    5     1.0074          2.4123
    6     0.9948          2.4275
    7     0.9724          2.4554
    8     0.9283          2.5130
    9     0.8048          2.6989
    10     0.6506          3.0018
    11     0.5190          3.3608
    12     0.2798          4.5770
    13     0.2423          4.9183
    14     0.1463          6.3297
    15     0.0268         14.7900
    16     0.0026         47.3182
{txt}---------------------------------
 Condition Number{res}        47.3182 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1172
{txt}
{com}. 
. //Model 4 replace ex-constraint with polity2
. xtreg sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lninfantmort_lag  firstyear secondyear thirdyear fourth fifth  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2553{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0149{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0025{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}14{txt},{res}1129{txt}){col 67}={col 70}{res}    27.64
{txt}corr(u_i, Xb){col 16}= {res}-0.5660{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     sumconfv413{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}agg_imprate_lag {c |}{col 18}{res}{space 2}-.0066552{col 30}{space 2} .0012194{col 41}{space 1}   -5.46{col 50}{space 3}0.000{col 58}{space 4}-.0090477{col 71}{space 3}-.0042627
{txt}{space 6}reb_viclag {c |}{col 18}{res}{space 2}-.2341572{col 30}{space 2} .1244134{col 41}{space 1}   -1.88{col 50}{space 3}0.060{col 58}{space 4}-.4782647{col 71}{space 3} .0099504
{txt}{space 4}govt_viclag1 {c |}{col 18}{res}{space 2} .1374812{col 30}{space 2} .0930885{col 41}{space 1}    1.48{col 50}{space 3}0.140{col 58}{space 4}-.0451648{col 71}{space 3} .3201272
{txt}{space 4}nonCPA_PALag {c |}{col 18}{res}{space 2}-.3434405{col 30}{space 2} .0680984{col 41}{space 1}   -5.04{col 50}{space 3}0.000{col 58}{space 4}-.4770542{col 71}{space 3}-.2098268
{txt}{space 4}govonlyv413m {c |}{col 18}{res}{space 2}-.1132569{col 30}{space 2} .0901255{col 41}{space 1}   -1.26{col 50}{space 3}0.209{col 58}{space 4}-.2900891{col 71}{space 3} .0635754
{txt}{space 4}lnlagwdi_pop {c |}{col 18}{res}{space 2} -.432309{col 30}{space 2} .2038172{col 41}{space 1}   -2.12{col 50}{space 3}0.034{col 58}{space 4}-.8322121{col 71}{space 3}-.0324058
{txt}lninfantmort_lag {c |}{col 18}{res}{space 2}-.1031526{col 30}{space 2} .1083104{col 41}{space 1}   -0.95{col 50}{space 3}0.341{col 58}{space 4}-.3156649{col 71}{space 3} .1093598
{txt}{space 7}firstyear {c |}{col 18}{res}{space 2} .8504248{col 30}{space 2} .0684181{col 41}{space 1}   12.43{col 50}{space 3}0.000{col 58}{space 4} .7161839{col 71}{space 3} .9846656
{txt}{space 6}secondyear {c |}{col 18}{res}{space 2}-.1682887{col 30}{space 2} .0622797{col 41}{space 1}   -2.70{col 50}{space 3}0.007{col 58}{space 4}-.2904857{col 71}{space 3}-.0460917
{txt}{space 7}thirdyear {c |}{col 18}{res}{space 2}-.0702571{col 30}{space 2} .0649034{col 41}{space 1}   -1.08{col 50}{space 3}0.279{col 58}{space 4} -.197602{col 71}{space 3} .0570878
{txt}{space 6}fourthyear {c |}{col 18}{res}{space 2}-.0708596{col 30}{space 2} .0663743{col 41}{space 1}   -1.07{col 50}{space 3}0.286{col 58}{space 4}-.2010905{col 71}{space 3} .0593713
{txt}{space 7}fifthyear {c |}{col 18}{res}{space 2}-.0640132{col 30}{space 2} .0707837{col 41}{space 1}   -0.90{col 50}{space 3}0.366{col 58}{space 4}-.2028957{col 71}{space 3} .0748693
{txt}{space 5}polity2_lag {c |}{col 18}{res}{space 2} 8.46e-06{col 30}{space 2} .0067201{col 41}{space 1}    0.00{col 50}{space 3}0.999{col 58}{space 4}-.0131767{col 71}{space 3} .0131937
{txt}{space 3}pkoaveragelag {c |}{col 18}{res}{space 2} .0144139{col 30}{space 2} .0080379{col 41}{space 1}    1.79{col 50}{space 3}0.073{col 58}{space 4}-.0013569{col 71}{space 3} .0301847
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 8.295347{col 30}{space 2} 3.599122{col 41}{space 1}    2.30{col 50}{space 3}0.021{col 58}{space 4} 1.233628{col 71}{space 3} 15.35707
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res} 1.2551925
         {txt}sigma_e {c |} {res} .57475022
             {txt}rho {c |} {res} .82667129{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1129{txt}) = {res}24.39{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  lnlagwdi_pop  lninfantmort_lag  firstyear secondyear thirdyear fourth fifth  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.85    1.36    0.5398      0.4602
agg_imprate_lag      1.43    1.20    0.6971      0.3029
reb_viclag      1.30    1.14    0.7706      0.2294
govt_viclag1      1.33    1.15    0.7505      0.2495
nonCPA_PALag      1.44    1.20    0.6954      0.3046
govonlyv413m      1.40    1.18    0.7156      0.2844
lnlagwdi_pop      1.42    1.19    0.7044      0.2956
lninfantmort_lag      1.60    1.27    0.6246      0.3754
 firstyear      1.95    1.39    0.5140      0.4860
secondyear      1.29    1.14    0.7732      0.2268
 thirdyear      1.20    1.10    0.8326      0.1674
fourthyear      1.16    1.07    0.8656      0.1344
 fifthyear      1.11    1.05    0.9050      0.0950
polity2_lag      1.55    1.24    0.6459      0.3541
pkoaveragelag      1.06    1.03    0.9477      0.0523
{txt}----------------------------------------------------
  Mean VIF{res}      1.41

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.5135          1.0000
    2     1.4836          1.9278
    3     1.0759          2.2637
    4     1.0683          2.2718
    5     1.0133          2.3326
    6     0.9961          2.3527
    7     0.9737          2.3796
    8     0.9408          2.4208
    9     0.8882          2.4915
    10     0.7584          2.6963
    11     0.5709          3.1076
    12     0.2607          4.5984
    13     0.2463          4.7316
    14     0.1838          5.4769
    15     0.0239         15.1882
    16     0.0026         45.9843
{txt}---------------------------------
 Condition Number{res}        45.9843 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1038
{txt}
{com}. 
. //Model 5
. xtreg sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0851{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0146{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0002{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}11{txt},{res}1132{txt}){col 67}={col 70}{res}     9.57
{txt}corr(u_i, Xb){col 16}= {res}-0.4723{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     sumconfv413{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}agg_imprate_lag {c |}{col 18}{res}{space 2}-.0077269{col 30}{space 2} .0013398{col 41}{space 1}   -5.77{col 50}{space 3}0.000{col 58}{space 4}-.0103557{col 71}{space 3}-.0050981
{txt}{space 6}reb_viclag {c |}{col 18}{res}{space 2}-.1241065{col 30}{space 2} .1388616{col 41}{space 1}   -0.89{col 50}{space 3}0.372{col 58}{space 4}-.3965615{col 71}{space 3} .1483485
{txt}{space 4}govt_viclag1 {c |}{col 18}{res}{space 2}-.1544578{col 30}{space 2} .1015756{col 41}{space 1}   -1.52{col 50}{space 3}0.129{col 58}{space 4}-.3537555{col 71}{space 3} .0448399
{txt}{space 4}nonCPA_PALag {c |}{col 18}{res}{space 2}-.3966917{col 30}{space 2}  .075226{col 41}{space 1}   -5.27{col 50}{space 3}0.000{col 58}{space 4}-.5442897{col 71}{space 3}-.2490937
{txt}{space 4}govonlyv413m {c |}{col 18}{res}{space 2}-.3110324{col 30}{space 2} .0991214{col 41}{space 1}   -3.14{col 50}{space 3}0.002{col 58}{space 4}-.5055147{col 71}{space 3}-.1165501
{txt}{space 3}bdbest_cumlag {c |}{col 18}{res}{space 2}-.0000279{col 30}{space 2} 6.40e-06{col 41}{space 1}   -4.36{col 50}{space 3}0.000{col 58}{space 4}-.0000404{col 71}{space 3}-.0000154
{txt}{space 4}lnlagwdi_pop {c |}{col 18}{res}{space 2}-.1031416{col 30}{space 2} .2338933{col 41}{space 1}   -0.44{col 50}{space 3}0.659{col 58}{space 4}-.5620548{col 71}{space 3} .3557716
{txt}lninfantmort_lag {c |}{col 18}{res}{space 2}-.3790465{col 30}{space 2} .1313667{col 41}{space 1}   -2.89{col 50}{space 3}0.004{col 58}{space 4}-.6367961{col 71}{space 3}-.1212969
{txt}{space 2}cum_peace_year {c |}{col 18}{res}{space 2}-.0201779{col 30}{space 2} .0059282{col 41}{space 1}   -3.40{col 50}{space 3}0.001{col 58}{space 4}-.0318095{col 71}{space 3}-.0085464
{txt}{space 5}polity2_lag {c |}{col 18}{res}{space 2}-.0013751{col 30}{space 2} .0073905{col 41}{space 1}   -0.19{col 50}{space 3}0.852{col 58}{space 4}-.0158758{col 71}{space 3} .0131255
{txt}{space 3}pkoaveragelag {c |}{col 18}{res}{space 2}-.0033406{col 30}{space 2} .0088267{col 41}{space 1}   -0.38{col 50}{space 3}0.705{col 58}{space 4}-.0206592{col 71}{space 3}  .013978
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 4.449015{col 30}{space 2} 4.067939{col 41}{space 1}    1.09{col 50}{space 3}0.274{col 58}{space 4}-3.532532{col 71}{space 3} 12.43056
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res} 1.1982973
         {txt}sigma_e {c |} {res} .63619901
             {txt}rho {c |} {res} .78010716{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1132{txt}) = {res}27.43{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.41    1.19    0.7113      0.2887
agg_imprate_lag      1.44    1.20    0.6933      0.3067
reb_viclag      1.30    1.14    0.7665      0.2335
govt_viclag1      1.34    1.16    0.7436      0.2564
nonCPA_PALag      1.44    1.20    0.6957      0.3043
govonlyv413m      1.41    1.19    0.7097      0.2903
bdbest_cumlag      1.17    1.08    0.8511      0.1489
lnlagwdi_pop      1.42    1.19    0.7040      0.2960
lninfantmort_lag      1.66    1.29    0.6008      0.3992
cum_peace_year      1.47    1.21    0.6801      0.3199
polity2_lag      1.56    1.25    0.6419      0.3581
pkoaveragelag      1.10    1.05    0.9131      0.0869
{txt}----------------------------------------------------
  Mean VIF{res}      1.39

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8155          1.0000
    2     1.2619          2.1467
    3     1.0829          2.3174
    4     1.0328          2.3729
    5     0.9253          2.5070
    6     0.8141          2.6726
    7     0.7472          2.7898
    8     0.5598          3.2232
    9     0.3119          4.3181
    10     0.2390          4.9333
    11     0.1852          5.6035
    12     0.0219         16.3091
    13     0.0026         47.6759
{txt}---------------------------------
 Condition Number{res}        47.6759 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1462
{txt}
{com}. 
. //Figure 2
. margins, at (agg_imprate_lag =(1(5)100))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}96}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7672479{col 26}{space 2} .0342496{col 37}{space 1}   22.40{col 46}{space 3}0.000{col 54}{space 4} .7001199{col 67}{space 3}  .834376
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7286135{col 26}{space 2} .0288053{col 37}{space 1}   25.29{col 46}{space 3}0.000{col 54}{space 4} .6721561{col 67}{space 3} .7850708
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .689979{col 26}{space 2} .0240044{col 37}{space 1}   28.74{col 46}{space 3}0.000{col 54}{space 4} .6429313{col 67}{space 3} .7370267
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .6513445{col 26}{space 2} .0203084{col 37}{space 1}   32.07{col 46}{space 3}0.000{col 54}{space 4} .6115408{col 67}{space 3} .6911482
{txt}{space 10}5  {c |}{col 14}{res}{space 2}   .61271{col 26}{space 2} .0183959{col 37}{space 1}   33.31{col 46}{space 3}0.000{col 54}{space 4} .5766548{col 67}{space 3} .6487653
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .5740756{col 26}{space 2} .0188186{col 37}{space 1}   30.51{col 46}{space 3}0.000{col 54}{space 4} .5371917{col 67}{space 3} .6109594
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .5354411{col 26}{space 2}  .021439{col 37}{space 1}   24.98{col 46}{space 3}0.000{col 54}{space 4} .4934214{col 67}{space 3} .5774607
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4968066{col 26}{space 2} .0255905{col 37}{space 1}   19.41{col 46}{space 3}0.000{col 54}{space 4} .4466501{col 67}{space 3} .5469631
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4581721{col 26}{space 2} .0306574{col 37}{space 1}   14.94{col 46}{space 3}0.000{col 54}{space 4} .3980847{col 67}{space 3} .5182595
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .4195377{col 26}{space 2} .0362579{col 37}{space 1}   11.57{col 46}{space 3}0.000{col 54}{space 4} .3484735{col 67}{space 3} .4906018
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .3809032{col 26}{space 2} .0421799{col 37}{space 1}    9.03{col 46}{space 3}0.000{col 54}{space 4}  .298232{col 67}{space 3} .4635743
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .3422687{col 26}{space 2} .0483054{col 37}{space 1}    7.09{col 46}{space 3}0.000{col 54}{space 4} .2475918{col 67}{space 3} .4369457
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .3036342{col 26}{space 2} .0545659{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4}  .196687{col 67}{space 3} .4105815
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .2649998{col 26}{space 2} .0609198{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .1455991{col 67}{space 3} .3844004
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .2263653{col 26}{space 2} .0673406{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0943801{col 67}{space 3} .3583505
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .1877308{col 26}{space 2} .0738109{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0430641{col 67}{space 3} .3323976
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .1490964{col 26}{space 2} .0803188{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0083255{col 67}{space 3} .3065182
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .1104619{col 26}{space 2} .0868557{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-.0597721{col 67}{space 3} .2806959
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0718274{col 26}{space 2} .0934156{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}-.1112638{col 67}{space 3} .2549186
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .0331929{col 26}{space 2} .0999939{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.1627916{col 67}{space 3} .2291774
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: agg_imprate_lag{p_end}
{res}{txt}
{com}. 
. //Table 3
. //Table 3 Interaction Effects and additional models
. //Model 6 non cpa 
. xtreg sumconfv413 agg_imprate_lag pamrate_nonCPA_PAlag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0856{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0100{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0001{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}     8.82
{txt}corr(u_i, Xb){col 16}= {res}-0.4496{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          sumconfv413{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}agg_imprate_lag {c |}{col 23}{res}{space 2}-.0073719{col 35}{space 2} .0014134{col 46}{space 1}   -5.22{col 55}{space 3}0.000{col 63}{space 4} -.010145{col 76}{space 3}-.0045988
{txt}pamrate_nonCPA_PAlag1 {c |}{col 23}{res}{space 2}-.0021937{col 35}{space 2} .0027764{col 46}{space 1}   -0.79{col 55}{space 3}0.430{col 63}{space 4}-.0076412{col 76}{space 3} .0032538
{txt}{space 11}reb_viclag {c |}{col 23}{res}{space 2}-.1079523{col 35}{space 2} .1403815{col 46}{space 1}   -0.77{col 55}{space 3}0.442{col 63}{space 4}-.3833897{col 76}{space 3} .1674851
{txt}{space 9}govt_viclag1 {c |}{col 23}{res}{space 2}-.1521418{col 35}{space 2} .1016348{col 46}{space 1}   -1.50{col 55}{space 3}0.135{col 63}{space 4}-.3515557{col 76}{space 3} .0472721
{txt}{space 9}nonCPA_PALag {c |}{col 23}{res}{space 2}-.3689009{col 35}{space 2} .0830542{col 46}{space 1}   -4.44{col 55}{space 3}0.000{col 63}{space 4}-.5318585{col 76}{space 3}-.2059433
{txt}{space 9}govonlyv413m {c |}{col 23}{res}{space 2} -.303246{col 35}{space 2} .0996265{col 46}{space 1}   -3.04{col 55}{space 3}0.002{col 63}{space 4}-.4987195{col 76}{space 3}-.1077725
{txt}{space 8}bdbest_cumlag {c |}{col 23}{res}{space 2}-.0000278{col 35}{space 2} 6.40e-06{col 46}{space 1}   -4.35{col 55}{space 3}0.000{col 63}{space 4}-.0000404{col 76}{space 3}-.0000153
{txt}{space 9}lnlagwdi_pop {c |}{col 23}{res}{space 2}-.0797987{col 35}{space 2} .2357904{col 46}{space 1}   -0.34{col 55}{space 3}0.735{col 63}{space 4}-.5424344{col 76}{space 3}  .382837
{txt}{space 5}lninfantmort_lag {c |}{col 23}{res}{space 2}-.3719476{col 35}{space 2} .1316954{col 46}{space 1}   -2.82{col 55}{space 3}0.005{col 63}{space 4}-.6303423{col 76}{space 3}-.1135529
{txt}{space 7}cum_peace_year {c |}{col 23}{res}{space 2}-.0202914{col 35}{space 2}  .005931{col 46}{space 1}   -3.42{col 55}{space 3}0.001{col 63}{space 4}-.0319284{col 76}{space 3}-.0086545
{txt}{space 10}polity2_lag {c |}{col 23}{res}{space 2}-.0018138{col 35}{space 2} .0074126{col 46}{space 1}   -0.24{col 55}{space 3}0.807{col 63}{space 4}-.0163578{col 76}{space 3} .0127301
{txt}{space 8}pkoaveragelag {c |}{col 23}{res}{space 2}-.0034957{col 35}{space 2} .0088304{col 46}{space 1}   -0.40{col 55}{space 3}0.692{col 63}{space 4}-.0208215{col 76}{space 3} .0138301
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 4.024148{col 35}{space 2} 4.103996{col 46}{space 1}    0.98{col 55}{space 3}0.327{col 63}{space 4}-4.028153{col 76}{space 3} 12.07645
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} 1.1851918
              {txt}sigma_e {c |} {res} .63630462
                  {txt}rho {c |} {res} .77625341{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}27.29{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag pamrate_nonCPA_PAlag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.41    1.19    0.7091      0.2909
agg_imprate_lag      1.62    1.27    0.6155      0.3845
pamrate_nonCPA_PAlag1      1.32    1.15    0.7565      0.2435
reb_viclag      1.31    1.14    0.7642      0.2358
govt_viclag1      1.35    1.16    0.7408      0.2592
nonCPA_PALag      1.73    1.32    0.5772      0.4228
govonlyv413m      1.44    1.20    0.6936      0.3064
bdbest_cumlag      1.18    1.09    0.8475      0.1525
lnlagwdi_pop      1.42    1.19    0.7040      0.2960
lninfantmort_lag      1.68    1.30    0.5956      0.4044
cum_peace_year      1.47    1.21    0.6797      0.3203
polity2_lag      1.60    1.26    0.6252      0.3748
pkoaveragelag      1.11    1.05    0.9037      0.0963
{txt}----------------------------------------------------
  Mean VIF{res}      1.43

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8641          1.0000
    2     1.3135          2.1129
    3     1.2228          2.1899
    4     1.0393          2.3753
    5     0.9890          2.4351
    6     0.8777          2.5849
    7     0.7872          2.7294
    8     0.6633          2.9733
    9     0.5351          3.3106
    10     0.2789          4.5852
    11     0.2347          4.9988
    12     0.1701          5.8713
    13     0.0217         16.4317
    14     0.0026         47.8749
{txt}---------------------------------
 Condition Number{res}        47.8749 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1106
{txt}
{com}. 
. //Model 7 gov victory
. xtreg sumconfv413 agg_imprate_lag  pamrate_Gov_v_lag1   reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0996{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0007{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0055{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}    10.43
{txt}corr(u_i, Xb){col 16}= {res}-0.4477{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       sumconfv413{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}agg_imprate_lag {c |}{col 20}{res}{space 2}-.0073702{col 32}{space 2} .0013323{col 43}{space 1}   -5.53{col 52}{space 3}0.000{col 60}{space 4}-.0099843{col 73}{space 3}-.0047561
{txt}pamrate_Gov_v_lag1 {c |}{col 20}{res}{space 2}-.0141333{col 32}{space 2} .0033051{col 43}{space 1}   -4.28{col 52}{space 3}0.000{col 60}{space 4} -.020618{col 73}{space 3}-.0076486
{txt}{space 8}reb_viclag {c |}{col 20}{res}{space 2}-.0680594{col 32}{space 2} .1384351{col 43}{space 1}   -0.49{col 52}{space 3}0.623{col 60}{space 4} -.339678{col 73}{space 3} .2035591
{txt}{space 6}govt_viclag1 {c |}{col 20}{res}{space 2} .0997292{col 32}{space 2} .1170286{col 43}{space 1}    0.85{col 52}{space 3}0.394{col 60}{space 4}-.1298883{col 73}{space 3} .3293467
{txt}{space 6}nonCPA_PALag {c |}{col 20}{res}{space 2}-.3758086{col 32}{space 2} .0748176{col 43}{space 1}   -5.02{col 52}{space 3}0.000{col 60}{space 4}-.5226056{col 73}{space 3}-.2290116
{txt}{space 6}govonlyv413m {c |}{col 20}{res}{space 2}-.3384196{col 32}{space 2} .0985814{col 43}{space 1}   -3.43{col 52}{space 3}0.001{col 60}{space 4}-.5318425{col 73}{space 3}-.1449966
{txt}{space 5}bdbest_cumlag {c |}{col 20}{res}{space 2}-.0000278{col 32}{space 2} 6.35e-06{col 43}{space 1}   -4.39{col 52}{space 3}0.000{col 60}{space 4}-.0000403{col 73}{space 3}-.0000154
{txt}{space 6}lnlagwdi_pop {c |}{col 20}{res}{space 2}-.0193247{col 32}{space 2} .2329537{col 43}{space 1}   -0.08{col 52}{space 3}0.934{col 60}{space 4}-.4763947{col 73}{space 3} .4377453
{txt}{space 2}lninfantmort_lag {c |}{col 20}{res}{space 2}-.3688953{col 32}{space 2} .1303966{col 43}{space 1}   -2.83{col 52}{space 3}0.005{col 60}{space 4}-.6247417{col 73}{space 3}-.1130488
{txt}{space 4}cum_peace_year {c |}{col 20}{res}{space 2}-.0198902{col 32}{space 2} .0058839{col 43}{space 1}   -3.38{col 52}{space 3}0.001{col 60}{space 4}-.0314347{col 73}{space 3}-.0083456
{txt}{space 7}polity2_lag {c |}{col 20}{res}{space 2} .0003782{col 32}{space 2} .0073462{col 43}{space 1}    0.05{col 52}{space 3}0.959{col 60}{space 4}-.0140354{col 73}{space 3} .0147919
{txt}{space 5}pkoaveragelag {c |}{col 20}{res}{space 2}-.0059171{col 32}{space 2} .0087808{col 43}{space 1}   -0.67{col 52}{space 3}0.501{col 60}{space 4}-.0231456{col 73}{space 3} .0113114
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.021233{col 32}{space 2} 4.051013{col 43}{space 1}    0.75{col 52}{space 3}0.456{col 60}{space 4}-4.927112{col 73}{space 3} 10.96958
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           sigma_u {c |} {res} 1.1886713
           {txt}sigma_e {c |} {res} .63139633
               {txt}rho {c |} {res} .77993976{txt}   (fraction of variance due to u_i)
{hline 19}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}28.11{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag  pamrate_Gov_v_lag1   reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.41    1.19    0.7113      0.2887
agg_imprate_lag      1.60    1.26    0.6266      0.3734
pamrate_Gov_v_lag1      1.43    1.19    0.7013      0.2987
reb_viclag      1.31    1.14    0.7632      0.2368
govt_viclag1      1.72    1.31    0.5815      0.4185
nonCPA_PALag      1.46    1.21    0.6865      0.3135
govonlyv413m      1.41    1.19    0.7095      0.2905
bdbest_cumlag      1.18    1.09    0.8493      0.1507
lnlagwdi_pop      1.43    1.20    0.6974      0.3026
lninfantmort_lag      1.67    1.29    0.5991      0.4009
cum_peace_year      1.47    1.21    0.6799      0.3201
polity2_lag      1.57    1.25    0.6388      0.3612
pkoaveragelag      1.11    1.06    0.8982      0.1018
{txt}----------------------------------------------------
  Mean VIF{res}      1.44

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8822          1.0000
    2     1.4374          2.0229
    3     1.2295          2.1873
    4     1.0721          2.3424
    5     0.9260          2.5204
    6     0.8274          2.6663
    7     0.7472          2.8057
    8     0.6175          3.0865
    9     0.5504          3.2691
    10     0.2826          4.5619
    11     0.2212          5.1568
    12     0.1822          5.6823
    13     0.0218         16.4090
    14     0.0025         48.2926
{txt}---------------------------------
 Condition Number{res}        48.2926 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1025
{txt}
{com}. 
. //Model 8 rebel victory
. xtreg sumconfv413 agg_imprate_lag pamrate_Reb_v reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0876{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0190{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}     9.04
{txt}corr(u_i, Xb){col 16}= {res}-0.4849{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       sumconfv413{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}agg_imprate_lag {c |}{col 20}{res}{space 2}-.0078073{col 32}{space 2} .0013394{col 43}{space 1}   -5.83{col 52}{space 3}0.000{col 60}{space 4}-.0104353{col 73}{space 3}-.0051794
{txt}pamrate_Reb_v_lag1 {c |}{col 20}{res}{space 2}  .013662{col 32}{space 2}  .007787{col 43}{space 1}    1.75{col 52}{space 3}0.080{col 60}{space 4}-.0016166{col 73}{space 3} .0289406
{txt}{space 8}reb_viclag {c |}{col 20}{res}{space 2}-.2071461{col 32}{space 2} .1465857{col 43}{space 1}   -1.41{col 52}{space 3}0.158{col 60}{space 4}-.4947567{col 73}{space 3} .0804644
{txt}{space 6}govt_viclag1 {c |}{col 20}{res}{space 2}-.1620279{col 32}{space 2} .1015742{col 43}{space 1}   -1.60{col 52}{space 3}0.111{col 60}{space 4} -.361323{col 73}{space 3} .0372672
{txt}{space 6}nonCPA_PALag {c |}{col 20}{res}{space 2}-.4077382{col 32}{space 2} .0754203{col 43}{space 1}   -5.41{col 52}{space 3}0.000{col 60}{space 4}-.5557176{col 73}{space 3}-.2597588
{txt}{space 6}govonlyv413m {c |}{col 20}{res}{space 2}-.3027419{col 32}{space 2} .0991432{col 43}{space 1}   -3.05{col 52}{space 3}0.002{col 60}{space 4}-.4972672{col 73}{space 3}-.1082166
{txt}{space 5}bdbest_cumlag {c |}{col 20}{res}{space 2}-.0000277{col 32}{space 2} 6.39e-06{col 43}{space 1}   -4.33{col 52}{space 3}0.000{col 60}{space 4}-.0000402{col 73}{space 3}-.0000151
{txt}{space 6}lnlagwdi_pop {c |}{col 20}{res}{space 2}-.1042489{col 32}{space 2} .2336798{col 43}{space 1}   -0.45{col 52}{space 3}0.656{col 60}{space 4}-.5627435{col 73}{space 3} .3542457
{txt}{space 2}lninfantmort_lag {c |}{col 20}{res}{space 2}-.4007722{col 32}{space 2} .1318292{col 43}{space 1}   -3.04{col 52}{space 3}0.002{col 60}{space 4}-.6594294{col 73}{space 3}-.1421149
{txt}{space 4}cum_peace_year {c |}{col 20}{res}{space 2}-.0208857{col 32}{space 2} .0059365{col 43}{space 1}   -3.52{col 52}{space 3}0.000{col 60}{space 4}-.0325335{col 73}{space 3}-.0092379
{txt}{space 7}polity2_lag {c |}{col 20}{res}{space 2}-.0011642{col 32}{space 2} .0073847{col 43}{space 1}   -0.16{col 52}{space 3}0.875{col 60}{space 4}-.0156535{col 73}{space 3} .0133251
{txt}{space 5}pkoaveragelag {c |}{col 20}{res}{space 2}-.0033937{col 32}{space 2} .0088187{col 43}{space 1}   -0.38{col 52}{space 3}0.700{col 60}{space 4}-.0206965{col 73}{space 3} .0139092
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.543734{col 32}{space 2} 4.064569{col 43}{space 1}    1.12{col 52}{space 3}0.264{col 60}{space 4}-3.431209{col 73}{space 3} 12.51868
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           sigma_u {c |} {res} 1.2093995
           {txt}sigma_e {c |} {res} .63561584
               {txt}rho {c |} {res} .78356601{txt}   (fraction of variance due to u_i)
{hline 19}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}27.44{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag pamrate_Reb_v reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.41    1.19    0.7100      0.2900
agg_imprate_lag      1.58    1.26    0.6341      0.3659
pamrate_Reb_v_lag1      1.29    1.13    0.7765      0.2235
reb_viclag      1.54    1.24    0.6508      0.3492
govt_viclag1      1.35    1.16    0.7383      0.2617
nonCPA_PALag      1.45    1.20    0.6917      0.3083
govonlyv413m      1.41    1.19    0.7086      0.2914
bdbest_cumlag      1.18    1.09    0.8478      0.1522
lnlagwdi_pop      1.42    1.19    0.7018      0.2982
lninfantmort_lag      1.67    1.29    0.6006      0.3994
cum_peace_year      1.47    1.21    0.6781      0.3219
polity2_lag      1.56    1.25    0.6394      0.3606
pkoaveragelag      1.10    1.05    0.9063      0.0937
{txt}----------------------------------------------------
  Mean VIF{res}      1.42

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8426          1.0000
    2     1.3925          2.0484
    3     1.2293          2.1800
    4     1.0591          2.3488
    5     0.9324          2.5032
    6     0.8537          2.6161
    7     0.7480          2.7948
    8     0.6708          2.9512
    9     0.5562          3.2409
    10     0.2842          4.5338
    11     0.2222          5.1275
    12     0.1845          5.6271
    13     0.0218         16.3570
    14     0.0026         47.8281
{txt}---------------------------------
 Condition Number{res}        47.8281 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1135
{txt}
{com}. 
. //Model 9 external military
. xtreg sumconfv413 agg_imprate_lag military_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0944{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0388{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0066{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}     9.83
{txt}corr(u_i, Xb){col 16}= {res}-0.5125{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     sumconfv413{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}agg_imprate_lag {c |}{col 18}{res}{space 2}-.0073463{col 30}{space 2} .0013382{col 41}{space 1}   -5.49{col 50}{space 3}0.000{col 58}{space 4}-.0099719{col 71}{space 3}-.0047207
{txt}{space 4}military_lag {c |}{col 18}{res}{space 2} .4198727{col 30}{space 2} .1228552{col 41}{space 1}    3.42{col 50}{space 3}0.001{col 58}{space 4} .1788229{col 71}{space 3} .6609226
{txt}{space 6}reb_viclag {c |}{col 18}{res}{space 2}-.1345268{col 30}{space 2} .1382447{col 41}{space 1}   -0.97{col 50}{space 3}0.331{col 58}{space 4}-.4057718{col 71}{space 3} .1367182
{txt}{space 4}govt_viclag1 {c |}{col 18}{res}{space 2}-.1301291{col 30}{space 2} .1013501{col 41}{space 1}   -1.28{col 50}{space 3}0.199{col 58}{space 4}-.3289845{col 71}{space 3} .0687263
{txt}{space 4}nonCPA_PALag {c |}{col 18}{res}{space 2}-.3672774{col 30}{space 2} .0753666{col 41}{space 1}   -4.87{col 50}{space 3}0.000{col 58}{space 4}-.5151515{col 71}{space 3}-.2194032
{txt}{space 4}govonlyv413m {c |}{col 18}{res}{space 2}-.3021179{col 30}{space 2} .0986916{col 41}{space 1}   -3.06{col 50}{space 3}0.002{col 58}{space 4}-.4957571{col 71}{space 3}-.1084788
{txt}{space 3}bdbest_cumlag {c |}{col 18}{res}{space 2}-.0000258{col 30}{space 2} 6.40e-06{col 41}{space 1}   -4.03{col 50}{space 3}0.000{col 58}{space 4}-.0000383{col 71}{space 3}-.0000132
{txt}{space 4}lnlagwdi_pop {c |}{col 18}{res}{space 2}-.1640447{col 30}{space 2} .2334788{col 41}{space 1}   -0.70{col 50}{space 3}0.482{col 58}{space 4}-.6221449{col 71}{space 3} .2940555
{txt}lninfantmort_lag {c |}{col 18}{res}{space 2}-.3518421{col 30}{space 2} .1309934{col 41}{space 1}   -2.69{col 50}{space 3}0.007{col 58}{space 4}-.6088595{col 71}{space 3}-.0948246
{txt}{space 2}cum_peace_year {c |}{col 18}{res}{space 2}-.0168435{col 30}{space 2} .0059806{col 41}{space 1}   -2.82{col 50}{space 3}0.005{col 58}{space 4}-.0285778{col 71}{space 3}-.0051092
{txt}{space 5}polity2_lag {c |}{col 18}{res}{space 2}-.0006916{col 30}{space 2} .0073586{col 41}{space 1}   -0.09{col 50}{space 3}0.925{col 58}{space 4}-.0151297{col 71}{space 3} .0137464
{txt}{space 3}pkoaveragelag {c |}{col 18}{res}{space 2} .0021401{col 30}{space 2} .0089306{col 41}{space 1}    0.24{col 50}{space 3}0.811{col 58}{space 4}-.0153822{col 71}{space 3} .0196624
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 5.276617{col 30}{space 2} 4.056119{col 41}{space 1}    1.30{col 50}{space 3}0.194{col 58}{space 4}-2.681746{col 71}{space 3} 13.23498
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res} 1.2145579
         {txt}sigma_e {c |} {res} .63321889
             {txt}rho {c |} {res}  .7862787{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}27.72{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag military_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      1.41    1.19    0.7091      0.2909
agg_imprate_lag      1.44    1.20    0.6925      0.3075
military_lag      1.05    1.02    0.9554      0.0446
reb_viclag      1.31    1.14    0.7658      0.2342
govt_viclag1      1.35    1.16    0.7432      0.2568
nonCPA_PALag      1.44    1.20    0.6955      0.3045
govonlyv413m      1.41    1.19    0.7085      0.2915
bdbest_cumlag      1.18    1.08    0.8495      0.1505
lnlagwdi_pop      1.43    1.20    0.6999      0.3001
lninfantmort_lag      1.67    1.29    0.6006      0.3994
cum_peace_year      1.48    1.22    0.6740      0.3260
polity2_lag      1.56    1.25    0.6400      0.3600
pkoaveragelag      1.10    1.05    0.9105      0.0895
{txt}----------------------------------------------------
  Mean VIF{res}      1.37

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     5.8439          1.0000
    2     1.3249          2.1002
    3     1.0940          2.3112
    4     1.0796          2.3266
    5     0.9706          2.4537
    6     0.8224          2.6657
    7     0.8051          2.6941
    8     0.7422          2.8060
    9     0.5592          3.2328
    10     0.3100          4.3417
    11     0.2386          4.9493
    12     0.1850          5.6208
    13     0.0219         16.3495
    14     0.0025         47.9706
{txt}---------------------------------
 Condition Number{res}        47.9706 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.1396
{txt}
{com}. 
. //Model 10 lagged dependent variable
. xtreg sumconfv413 agg_imprate_lag sumconfv413_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1980{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.4273{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.4061{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}    23.27
{txt}corr(u_i, Xb){col 16}= {res}0.1724{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     sumconfv413{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}agg_imprate_lag {c |}{col 18}{res}{space 2}-.0057625{col 30}{space 2} .0012646{col 41}{space 1}   -4.56{col 50}{space 3}0.000{col 58}{space 4}-.0082437{col 71}{space 3}-.0032813
{txt}{space 1}sumconfv413_lag {c |}{col 18}{res}{space 2} .3398876{col 30}{space 2} .0269354{col 41}{space 1}   12.62{col 50}{space 3}0.000{col 58}{space 4} .2870386{col 71}{space 3} .3927367
{txt}{space 6}reb_viclag {c |}{col 18}{res}{space 2}-.0938095{col 30}{space 2} .1300906{col 41}{space 1}   -0.72{col 50}{space 3}0.471{col 58}{space 4}-.3490555{col 71}{space 3} .1614365
{txt}{space 4}govt_viclag1 {c |}{col 18}{res}{space 2}-.1365266{col 30}{space 2} .0951542{col 41}{space 1}   -1.43{col 50}{space 3}0.152{col 58}{space 4}-.3232251{col 71}{space 3}  .050172
{txt}{space 4}nonCPA_PALag {c |}{col 18}{res}{space 2} -.368797{col 30}{space 2} .0704971{col 41}{space 1}   -5.23{col 50}{space 3}0.000{col 58}{space 4}-.5071168{col 71}{space 3}-.2304772
{txt}{space 4}govonlyv413m {c |}{col 18}{res}{space 2}-.2948782{col 30}{space 2} .0928536{col 41}{space 1}   -3.18{col 50}{space 3}0.002{col 58}{space 4}-.4770628{col 71}{space 3}-.1126936
{txt}{space 3}bdbest_cumlag {c |}{col 18}{res}{space 2}-.0000196{col 30}{space 2} 6.03e-06{col 41}{space 1}   -3.26{col 50}{space 3}0.001{col 58}{space 4}-.0000315{col 71}{space 3}-7.82e-06
{txt}{space 4}lnlagwdi_pop {c |}{col 18}{res}{space 2}  .049362{col 30}{space 2} .2194156{col 41}{space 1}    0.22{col 50}{space 3}0.822{col 58}{space 4}-.3811453{col 71}{space 3} .4798693
{txt}lninfantmort_lag {c |}{col 18}{res}{space 2}-.2309805{col 30}{space 2} .1236064{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4} -.473504{col 71}{space 3} .0115431
{txt}{space 2}cum_peace_year {c |}{col 18}{res}{space 2}-.0084402{col 30}{space 2} .0056302{col 41}{space 1}   -1.50{col 50}{space 3}0.134{col 58}{space 4} -.019487{col 71}{space 3} .0026067
{txt}{space 5}polity2_lag {c |}{col 18}{res}{space 2} .0031008{col 30}{space 2} .0069316{col 41}{space 1}    0.45{col 50}{space 3}0.655{col 58}{space 4}-.0104994{col 71}{space 3} .0167011
{txt}{space 3}pkoaveragelag {c |}{col 18}{res}{space 2}-.0043543{col 30}{space 2} .0082682{col 41}{space 1}   -0.53{col 50}{space 3}0.599{col 58}{space 4} -.020577{col 71}{space 3} .0118684
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  .975124{col 30}{space 2} 3.820277{col 41}{space 1}    0.26{col 50}{space 3}0.799{col 58}{space 4}-6.520502{col 71}{space 3}  8.47075
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res} .77452371
         {txt}sigma_e {c |} {res}  .5959129
             {txt}rho {c |} {res} .62815446{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}5.76{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. collin sumconfv413 agg_imprate_lag sumconfv413_lag reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=.,  
{txt}(obs=1,213)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}sumconfv413      3.17    1.78    0.3154      0.6846
agg_imprate_lag      1.44    1.20    0.6932      0.3068
sumconfv413_lag      3.20    1.79    0.3126      0.6874
reb_viclag      1.31    1.14    0.7658      0.2342
govt_viclag1      1.35    1.16    0.7426      0.2574
nonCPA_PALag      1.44    1.20    0.6926      0.3074
govonlyv413m      1.41    1.19    0.7097      0.2903
bdbest_cumlag      1.18    1.09    0.8488      0.1512
lnlagwdi_pop      1.43    1.20    0.6984      0.3016
lninfantmort_lag      1.66    1.29    0.6007      0.3993
cum_peace_year      1.52    1.23    0.6575      0.3425
polity2_lag      1.56    1.25    0.6417      0.3583
pkoaveragelag      1.10    1.05    0.9130      0.0870
{txt}----------------------------------------------------
  Mean VIF{res}      1.67

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.0724          1.0000
    2     1.7148          1.8818
    3     1.1030          2.3463
    4     1.0328          2.4248
    5     0.9663          2.5068
    6     0.8622          2.6539
    7     0.7562          2.8337
    8     0.5856          3.2201
    9     0.3155          4.3874
    10     0.2393          5.0372
    11     0.1871          5.6965
    12     0.1404          6.5776
    13     0.0217         16.7116
    14     0.0025         48.8074
{txt}---------------------------------
 Condition Number{res}        48.8074 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0457
{txt}
{com}. 
. //Data for Table 4
. xtreg sumconfv413 agg_imprate_lag  pamrate_Gov_v_lag1   reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0996{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0007{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0055{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}    10.43
{txt}corr(u_i, Xb){col 16}= {res}-0.4477{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       sumconfv413{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}agg_imprate_lag {c |}{col 20}{res}{space 2}-.0073702{col 32}{space 2} .0013323{col 43}{space 1}   -5.53{col 52}{space 3}0.000{col 60}{space 4}-.0099843{col 73}{space 3}-.0047561
{txt}pamrate_Gov_v_lag1 {c |}{col 20}{res}{space 2}-.0141333{col 32}{space 2} .0033051{col 43}{space 1}   -4.28{col 52}{space 3}0.000{col 60}{space 4} -.020618{col 73}{space 3}-.0076486
{txt}{space 8}reb_viclag {c |}{col 20}{res}{space 2}-.0680594{col 32}{space 2} .1384351{col 43}{space 1}   -0.49{col 52}{space 3}0.623{col 60}{space 4} -.339678{col 73}{space 3} .2035591
{txt}{space 6}govt_viclag1 {c |}{col 20}{res}{space 2} .0997292{col 32}{space 2} .1170286{col 43}{space 1}    0.85{col 52}{space 3}0.394{col 60}{space 4}-.1298883{col 73}{space 3} .3293467
{txt}{space 6}nonCPA_PALag {c |}{col 20}{res}{space 2}-.3758086{col 32}{space 2} .0748176{col 43}{space 1}   -5.02{col 52}{space 3}0.000{col 60}{space 4}-.5226056{col 73}{space 3}-.2290116
{txt}{space 6}govonlyv413m {c |}{col 20}{res}{space 2}-.3384196{col 32}{space 2} .0985814{col 43}{space 1}   -3.43{col 52}{space 3}0.001{col 60}{space 4}-.5318425{col 73}{space 3}-.1449966
{txt}{space 5}bdbest_cumlag {c |}{col 20}{res}{space 2}-.0000278{col 32}{space 2} 6.35e-06{col 43}{space 1}   -4.39{col 52}{space 3}0.000{col 60}{space 4}-.0000403{col 73}{space 3}-.0000154
{txt}{space 6}lnlagwdi_pop {c |}{col 20}{res}{space 2}-.0193247{col 32}{space 2} .2329537{col 43}{space 1}   -0.08{col 52}{space 3}0.934{col 60}{space 4}-.4763947{col 73}{space 3} .4377453
{txt}{space 2}lninfantmort_lag {c |}{col 20}{res}{space 2}-.3688953{col 32}{space 2} .1303966{col 43}{space 1}   -2.83{col 52}{space 3}0.005{col 60}{space 4}-.6247417{col 73}{space 3}-.1130488
{txt}{space 4}cum_peace_year {c |}{col 20}{res}{space 2}-.0198902{col 32}{space 2} .0058839{col 43}{space 1}   -3.38{col 52}{space 3}0.001{col 60}{space 4}-.0314347{col 73}{space 3}-.0083456
{txt}{space 7}polity2_lag {c |}{col 20}{res}{space 2} .0003782{col 32}{space 2} .0073462{col 43}{space 1}    0.05{col 52}{space 3}0.959{col 60}{space 4}-.0140354{col 73}{space 3} .0147919
{txt}{space 5}pkoaveragelag {c |}{col 20}{res}{space 2}-.0059171{col 32}{space 2} .0087808{col 43}{space 1}   -0.67{col 52}{space 3}0.501{col 60}{space 4}-.0231456{col 73}{space 3} .0113114
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.021233{col 32}{space 2} 4.051013{col 43}{space 1}    0.75{col 52}{space 3}0.456{col 60}{space 4}-4.927112{col 73}{space 3} 10.96958
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           sigma_u {c |} {res} 1.1886713
           {txt}sigma_e {c |} {res} .63139633
               {txt}rho {c |} {res} .77993976{txt}   (fraction of variance due to u_i)
{hline 19}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}28.11{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. 
. //Margin data for Table 4
. xtreg sumconfv413 agg_imprate_lag  pamrate_Gov_v_lag1   reb_viclag govt_viclag1 nonCPA_PALag govonlyv413m  bdbest_cumlag lnlagwdi_pop  lninfantmort_lag  cum_peace_year  polity2_lag pkoaveragelag if mj_conflictid!=., fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,213
{txt}Group variable: {res}ccode{txt}{col 49}Number of groups{col 67}={col 69}{res}        70

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0996{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0007{col 63}{txt}avg{col 67}={col 69}{res}      17.3
{txt}     overall = {res}0.0055{col 63}{txt}max{col 67}={col 69}{res}        23

{txt}{col 49}F({res}12{txt},{res}1131{txt}){col 67}={col 70}{res}    10.43
{txt}corr(u_i, Xb){col 16}= {res}-0.4477{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       sumconfv413{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}agg_imprate_lag {c |}{col 20}{res}{space 2}-.0073702{col 32}{space 2} .0013323{col 43}{space 1}   -5.53{col 52}{space 3}0.000{col 60}{space 4}-.0099843{col 73}{space 3}-.0047561
{txt}pamrate_Gov_v_lag1 {c |}{col 20}{res}{space 2}-.0141333{col 32}{space 2} .0033051{col 43}{space 1}   -4.28{col 52}{space 3}0.000{col 60}{space 4} -.020618{col 73}{space 3}-.0076486
{txt}{space 8}reb_viclag {c |}{col 20}{res}{space 2}-.0680594{col 32}{space 2} .1384351{col 43}{space 1}   -0.49{col 52}{space 3}0.623{col 60}{space 4} -.339678{col 73}{space 3} .2035591
{txt}{space 6}govt_viclag1 {c |}{col 20}{res}{space 2} .0997292{col 32}{space 2} .1170286{col 43}{space 1}    0.85{col 52}{space 3}0.394{col 60}{space 4}-.1298883{col 73}{space 3} .3293467
{txt}{space 6}nonCPA_PALag {c |}{col 20}{res}{space 2}-.3758086{col 32}{space 2} .0748176{col 43}{space 1}   -5.02{col 52}{space 3}0.000{col 60}{space 4}-.5226056{col 73}{space 3}-.2290116
{txt}{space 6}govonlyv413m {c |}{col 20}{res}{space 2}-.3384196{col 32}{space 2} .0985814{col 43}{space 1}   -3.43{col 52}{space 3}0.001{col 60}{space 4}-.5318425{col 73}{space 3}-.1449966
{txt}{space 5}bdbest_cumlag {c |}{col 20}{res}{space 2}-.0000278{col 32}{space 2} 6.35e-06{col 43}{space 1}   -4.39{col 52}{space 3}0.000{col 60}{space 4}-.0000403{col 73}{space 3}-.0000154
{txt}{space 6}lnlagwdi_pop {c |}{col 20}{res}{space 2}-.0193247{col 32}{space 2} .2329537{col 43}{space 1}   -0.08{col 52}{space 3}0.934{col 60}{space 4}-.4763947{col 73}{space 3} .4377453
{txt}{space 2}lninfantmort_lag {c |}{col 20}{res}{space 2}-.3688953{col 32}{space 2} .1303966{col 43}{space 1}   -2.83{col 52}{space 3}0.005{col 60}{space 4}-.6247417{col 73}{space 3}-.1130488
{txt}{space 4}cum_peace_year {c |}{col 20}{res}{space 2}-.0198902{col 32}{space 2} .0058839{col 43}{space 1}   -3.38{col 52}{space 3}0.001{col 60}{space 4}-.0314347{col 73}{space 3}-.0083456
{txt}{space 7}polity2_lag {c |}{col 20}{res}{space 2} .0003782{col 32}{space 2} .0073462{col 43}{space 1}    0.05{col 52}{space 3}0.959{col 60}{space 4}-.0140354{col 73}{space 3} .0147919
{txt}{space 5}pkoaveragelag {c |}{col 20}{res}{space 2}-.0059171{col 32}{space 2} .0087808{col 43}{space 1}   -0.67{col 52}{space 3}0.501{col 60}{space 4}-.0231456{col 73}{space 3} .0113114
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.021233{col 32}{space 2} 4.051013{col 43}{space 1}    0.75{col 52}{space 3}0.456{col 60}{space 4}-4.927112{col 73}{space 3} 10.96958
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           sigma_u {c |} {res} 1.1886713
           {txt}sigma_e {c |} {res} .63139633
               {txt}rho {c |} {res} .77993976{txt}   (fraction of variance due to u_i)
{hline 19}{c BT}{hline 64}
F test that all u_i=0: F({res}69{txt}, {res}1131{txt}) = {res}28.11{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}.  //10
.  margins, at(agg_imprate_lag=10 govt_viclag1=0 pamrate_Gov_v_lag1==0)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .7079638{col 26}{space 2} .0285832{col 37}{space 1}   24.77{col 46}{space 3}0.000{col 54}{space 4} .6519417{col 67}{space 3} .7639859
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  margins, at(agg_imprate_lag=10 govt_viclag1=1 pamrate_Gov_v_lag1==10)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .6663599{col 26}{space 2} .0932096{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} .4836724{col 67}{space 3} .8490473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.  //20
.  margins, at(agg_imprate_lag=20 govt_viclag1=0 pamrate_Gov_v_lag1==0)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  .634262{col 26}{space 2} .0232771{col 37}{space 1}   27.25{col 46}{space 3}0.000{col 54}{space 4} .5886396{col 67}{space 3} .6798843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(agg_imprate_lag=20 govt_viclag1=1 pamrate_Gov_v_lag1==20)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .4513249{col 26}{space 2} .0890914{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4}  .276709{col 67}{space 3} .6259408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //30
. margins, at(agg_imprate_lag=30 govt_viclag1=0 pamrate_Gov_v_lag1==0)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .5605601{col 26}{space 2} .0249332{col 37}{space 1}   22.48{col 46}{space 3}0.000{col 54}{space 4} .5116919{col 67}{space 3} .6094284
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(agg_imprate_lag=30 govt_viclag1=1 pamrate_Gov_v_lag1==30)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .2362899{col 26}{space 2} .0980609{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0440942{col 67}{space 3} .4284857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //40
. margins, at(agg_imprate_lag=40 govt_viclag1=0 pamrate_Gov_v_lag1==0)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .4868583{col 26}{space 2} .0325042{col 37}{space 1}   14.98{col 46}{space 3}0.000{col 54}{space 4} .4231513{col 67}{space 3} .5505653
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(agg_imprate_lag=40 govt_viclag1=1 pamrate_Gov_v_lag1==40)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,213
{txt}Model VCE{col 14}: {res}Conventional

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:agg_imprat~g}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pamrate_Go~1}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:govt_viclag1}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  .021255{col 26}{space 2} .1171495{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.2083539{col 67}{space 3} .2508638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. exit, clear
